junhua024-chai-02-full-01

developer_uid: junhua024
submission_id: junhua024-chai-02-full-01_v1
model_name: junhua024-chai-02-full-01_v1
model_group: junhua024/chai_02-full_0
status: torndown
timestamp: 2025-07-12T08:19:20+00:00
num_battles: 29706
num_wins: 14488
celo_rating: 1258.12
family_friendly_score: 0.5968
family_friendly_standard_error: 0.006937287077813632
submission_type: basic
model_repo: junhua024/chai_02-full_01
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.5984390409586845, 'latency_mean': 1.670838347673416, 'latency_p50': 1.6715949773788452, 'latency_p90': 1.8601434230804443}, {'batch_size': 3, 'throughput': 1.071035791922338, 'latency_mean': 2.7911742901802064, 'latency_p50': 2.7943296432495117, 'latency_p90': 3.0598329305648804}, {'batch_size': 5, 'throughput': 1.2936705101677615, 'latency_mean': 3.8418822681903837, 'latency_p50': 3.8498518466949463, 'latency_p90': 4.26328296661377}, {'batch_size': 6, 'throughput': 1.360881750469998, 'latency_mean': 4.390585968494415, 'latency_p50': 4.428087115287781, 'latency_p90': 4.853440427780152}, {'batch_size': 8, 'throughput': 1.4197518702398464, 'latency_mean': 5.593417286872864, 'latency_p50': 5.617433071136475, 'latency_p90': 6.311187052726745}, {'batch_size': 10, 'throughput': 1.4354772541405603, 'latency_mean': 6.8995544052124025, 'latency_p50': 6.954973340034485, 'latency_p90': 7.73855881690979}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-02-full-01_v1
is_internal_developer: False
language_model: junhua024/chai_02-full_01
model_size: 13B
ranking_group: single
throughput_3p7s: 1.28
us_pacific_date: 2025-07-12
win_ratio: 0.48771291994883187
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 10, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': False}
Resubmit model
Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name junhua024-chai-02-full-01-v1-mkmlizer
Waiting for job on junhua024-chai-02-full-01-v1-mkmlizer to finish
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junhua024-chai-02-full-01-v1-mkmlizer: ║                                                                     ║
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junhua024-chai-02-full-01-v1-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-01-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-02-full-01-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-02-full-01-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-02-full-01-v1-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-02-full-01-v1-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-01-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-02-full-01-v1-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-02-full-01-v1-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-01-v1-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-02-full-01-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-02-full-01-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-02-full-01-v1-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-01-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-02-full-01-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-01-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-01-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-01-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-01-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-01-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-01-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-01-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-01-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-01-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-01-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-01-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-01-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-01-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-01-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-01-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-01-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-01-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-01-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-01-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-01-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-01-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-01-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-01-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-01-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-01-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-02-full-01-v1-mkmlizer: Downloaded to shared memory in 118.472s
junhua024-chai-02-full-01-v1-mkmlizer: Checking if junhua024/chai_02-full_01 already exists in ChaiML
junhua024-chai-02-full-01-v1-mkmlizer: Creating repo ChaiML/chai_02-full_01 and uploading /tmp/tmpma7hwrec to it
junhua024-chai-02-full-01-v1-mkmlizer: 
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junhua024-chai-02-full-01-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpma7hwrec, device:0
junhua024-chai-02-full-01-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-02-full-01-v1-mkmlizer: quantized model in 31.559s
junhua024-chai-02-full-01-v1-mkmlizer: Processed model junhua024/chai_02-full_01 in 238.973s
junhua024-chai-02-full-01-v1-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-02-full-01-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-02-full-01-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-02-full-01-v1/nvidia
junhua024-chai-02-full-01-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-02-full-01-v1/nvidia/config.json
junhua024-chai-02-full-01-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-02-full-01-v1/nvidia/special_tokens_map.json
junhua024-chai-02-full-01-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-02-full-01-v1/nvidia/tokenizer_config.json
junhua024-chai-02-full-01-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-02-full-01-v1/nvidia/tokenizer.json
junhua024-chai-02-full-01-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-02-full-01-v1/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-02-full-01-v1-mkmlizer completed after 261.23s with status: succeeded
Stopping job with name junhua024-chai-02-full-01-v1-mkmlizer
Pipeline stage MKMLizer completed in 261.78s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.15s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-02-full-01-v1
Waiting for inference service junhua024-chai-02-full-01-v1 to be ready
Inference service junhua024-chai-02-full-01-v1 ready after 281.27556824684143s
Pipeline stage MKMLDeployer completed in 281.81s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1948022842407227s
Received healthy response to inference request in 1.4154746532440186s
Received healthy response to inference request in 2.0770204067230225s
Received healthy response to inference request in 1.659313678741455s
Received healthy response to inference request in 1.6436028480529785s
5 requests
0 failed requests
5th percentile: 1.4611002922058105
10th percentile: 1.5067259311676025
20th percentile: 1.5979772090911866
30th percentile: 1.6467450141906739
40th percentile: 1.6530293464660644
50th percentile: 1.659313678741455
60th percentile: 1.826396369934082
70th percentile: 1.9934790611267088
80th percentile: 2.1005767822265624
90th percentile: 2.1476895332336428
95th percentile: 2.1712459087371827
99th percentile: 2.1900910091400148
mean time: 1.7980427742004395
Pipeline stage StressChecker completed in 10.38s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.69s
run pipeline stage %s
Running pipeline stage TriggerMKMLProfilingPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage TriggerMKMLProfilingPipeline completed in 0.73s
Shutdown handler de-registered
junhua024-chai-02-full-01_v1 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
clean up pipeline due to error=DeploymentChecksError('None: None')
Shutdown handler de-registered
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2967.57s
Shutdown handler de-registered
junhua024-chai-02-full-01_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-02-full-01_v1 status is now torndown due to DeploymentManager action